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nnethercott/
llava-v1.5-7b_vicuna

Name: llava-v1.5-7b_vicuna
Availability: InStock

text-generation-inference

endpoints_compatible

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Model details

Motivation This models contains the fine-tuned weights from liuhaotian/llava-v1.5-7b so LLM benchmarking can be done.

Model type: LLaVA is an open-source chatbot trained by fine-tuning LLaMA/Vicuna on GPT-generated multimodal instruction-following data. It is an auto-regressive language model, based on the transformer architecture.

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Training dataset

558K filtered image-text pairs from LAION/CC/SBU, captioned by BLIP.
158K GPT-generated multimodal instruction-following data.
450K academic-task-oriented VQA data mixture.
40K ShareGPT data.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	52.28
AI2 Reasoning Challenge (25-Shot)	52.65
HellaSwag (10-Shot)	76.09
MMLU (5-Shot)	51.68
TruthfulQA (0-shot)	45.86
Winogrande (5-shot)	72.06
GSM8k (5-shot)	15.31

nnethercott/llava-v1.5-7b_vicuna

Model details

License

Training dataset

Open LLM Leaderboard Evaluation Results

nnethercott/
llava-v1.5-7b_vicuna